Annette Stahl
Om
Annette Stahl is an Associate Professor at the Department of Engineering Cybernetics, an Affiliated Scientist of the Centre of Excellence - NTNU AMOS, and a Researcher at the Centre for Research-based Innovation (SFI) AutoShip. She is Head of the Robotc Vision Group and PI of the Research Council of Norway funded AILARON project. She has a PhD in Applied Mathematics - Computer Vision from Heidelberg University, Germany.
Research Interests
- Robotic, computer and machine vision
- Control theory, robotics, autonomous vehicles
- Mathematical image analysis
- Motion estimation, variational methods, partial differential equations
- Object recognition
- Multi-view reconstruction
- Visual SLAM
- Statistical shape analysis
- Machine learning
- Virtual reality
- Isogeometric analysis, visualization
- High perfomance computing
Supervision
PhD-candidates:
Main supervisor:
- Trym Nygård , funded by the Research Council of Norway (IKTPLUSS) - AUTOSIGHT
- Emil Martens (integrated PhD), funded by the Research Council of Norway - SFI AUTOSHIP
- Mauhing Yip, funded by the Research Council of Norway (KPN MAROFF) - AROS project
- Michael Ernesto Lopez, funded by the Research Council of Norway (KPN MAROFF) - AUTOSIT project
- Jonatan Dyrstad funded by the Research Council of Norway (FRINATEK/IKTPLUSS) - Neodroit project
- Trym Haavardsholm funded by FFI
- Simen Haugo funded by NTNU
- Marco Leonardi funded by NTNU
Co-advisor:
- Nicholas Dalhaug, Extendend Object Tracking exploiting stereo vision (AUTOSIGHT), Main supervisor: Edmund Brekke
- Andreas Langeland Teigen, Underwater SLAM (AROS), Main supervisor: Rudolf Mester, IDI
- Øystein Volden, Real-Time Encryption of Computer Vision Feedback Control Systems for Autonomous Ships Main supervisor: Thor Inge Fossen
- Øystein Kaarlsen Helgesen, Sensor Fusion and Situational Awareness for autonomous urban ferries in the Autoferry project: Main supervisor: Edmund Brekke
- Lars-Christian Tokle, Sensor fusion for autonomous ferry, Main supervisor: Edmund Brekke
Master students:
-
2022/2023: 4 Master students
-
2021/2022: 9 Master students
-
2020/2021: 8 Master students
- 2019/2020: 10 Master students
- 2018/2019: 13 Master students
- 2017/2018: 5 Master students
- 2016/2017: 7 Master students
Alumni:
- Joseph Garrett (ERCIM fellow), Postdoctoral fellow
- Aya Saad funded by the Research Council of Norway (FRINATEK/IKTPLUSS)
Projects
- AUTOSIGHT - Autonomy through stereo vision near the seashore (RCN IKTPLUSS)
- AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ, (RCN FRINATEK/IKTPLUSS)
- AROS - Autonomous Robots for Ocean Sustainability (RCN IKTPLUSS)
- Deteksjon av person i elva basert på infrarød sensor, maskinlæring og automatisk bildebehandling (RFFTRØNDELAG), in collaboration with Zebop AS
- SFI AutoShip: Autonomous Ships for Safe and Sustainable Operations (RCN SFI)
- AUTOSIT - Autonomous Ships, Intentions and Situational Awareness (RCN KPN MAROFF)
- INDISAL - Enabling technology for identification of individual salmon in
commercial fish-cages (RCN HAVBRUK2), In collaboration with SINTEF Ocean - NEODROID Creating a reality-ready robot brain in virtual reality (RCN FRINATEK/IKTPLUSS), in collaboration with SINTEF Ocean
- CageReporter Development of technology for autonomous, bio-interactive and high-quality data acquisition in Aquaculture sea cages (RCN IPN), in collaboration with SINTEF Ocean
News
- A robotic microplankton sniffer-dog (May 2021)
https://norwegianscitechnews.com/2021/05/a-robotic-microplankton-sniffer-dog/ - iLaks article (Oct 2016): Droner ser sykdom på fisk og hull i noter
http://ilaks.no/droner-ser-sykdom-pa-fisk-og-hull-i-noter/
- Gemini article (Aug 2016): Robotic Vision helps detect diseases and keep fish healthy
http://gemini.no/en/2016/08/robot-vision-helps-detect-diseases-and-keep-fish-healthy/
https://www.sintef.no/en/latest-news/robot-vision-helps-detect-diseases-and-keep-fish-h/
- Gemini article (Aug 2016): Robotsyn oppdager sykdom og gir friskere fisk
http://gemini.no/2016/08/robotsyn-oppdager-sykdom-og-gir-friskere-fisk/
http://sintef.no/siste-nytt/robotsyn-finner-sykdom-og-gir-friskere-fisk/
http://www.abcnyheter.no/livet/2016/08/12/195235012/robotsyn-finner-sykdom-og-gir-friskere-fisk
- DN article (July 2016): Robotsyn gir friskere fisk
http://www.dn.no/meninger/debatt/2016/07/21/2120/Teknologi/robotsyn-gir-friskere-fisk
Datasets
-
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth https://www.ntnu.edu/arosvisiongroup/varos
Publikasjoner
2022
- Borgersen, Jonas Nagell; Saad, Aya; Stahl, Annette. (2022) MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. Proceedings of SPIE, the International Society for Optical Engineering. volum 12084.
- Haugo, Simen; Stahl, Annette. (2022) Progressive integration of visibility constraints for implicit functions. Proceedings of SPIE, the International Society for Optical Engineering. volum 12084.
- Helgesen, Øystein Kaarstad; Vasstein, Kjetil; Brekke, Edmund Førland; Stahl, Annette. (2022) Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment. Ocean Engineering. volum 252.
- Madshaven, Arild; Schellewald, Christian; Stahl, Annette. (2022) Hole Detection in Aquaculture Net Cages from Video Footage. Proceedings of SPIE, the International Society for Optical Engineering. volum 12084.
- Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2022) Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. Proceedings of SPIE, the International Society for Optical Engineering. volum 12084.
2021
- Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) A combined informative and representative active learning approach for plankton taxa labeling. Proceedings of SPIE, the International Society for Optical Engineering. volum 11878.
- Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) CIRAL: a hybrid active learning framework for plankon taxa labeling. IFAC-PapersOnLine. volum 54 (16).
- Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein. (2021) Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC-PapersOnLine. volum 53 (2).
- Leonardi, Marco; Fiori, Luca; Stahl, Annette. (2021) Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC-PapersOnLine. volum 53 (2).
- Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette. (2021) An instance segmentation framework for in-situ plankton taxa assessment. Proceedings of SPIE, the International Society for Optical Engineering. volum 11605.
- Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni. (2021) Vision-based pose estimation for autonomous operations in aquacultural fish farms. IFAC-PapersOnLine. volum 54 (16).
- Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. IFAC-PapersOnLine. volum 54 (16).
- Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2021) Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs). International Journal of Intelligent Robotics and Applications (IJIRA).
- Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. IEEE International Conference on Computer Vision (ICCV).
2020
- Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. OCEANS.
- Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein. (2020) Image Segmentation of Corrosion Damages in Industrial Inspections. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI).
- Haavardsholm, Trym Vegard; Skauli, Torbjørn; Stahl, Annette. (2020) Multimodal Multispectral Imaging System for Small UAVs. IEEE Robotics and Automation Letters. volum 5 (2).
- Haugo, Simen; Stahl, Annette. (2020) Iterative Closest Point with Minimal Free Space Constraints. Advances in Visual Computing.
- Haugo, Simen; Stahl, Annette. (2020) Minimal Free Space Constraints for Implicit Distance Bounds. Advances in Visual Computing.
- Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole; Ludvigsen, Martin; Johnsen, Geir; Sousa, João; Rajan, Kanna. (2020) Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography. volum 33 (3).
- Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. OCEANS.
- Skjellaug, Even; Brekke, Edmund Førland; Stahl, Annette. (2020) Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library. 2020 IEEE 23rd International Conference on Information Fusion (FUSION).
- Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. OCEANS.
2019
- Henriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Stahl, Annette; Johansen, Tor Arne; Sigernes, Fred. (2019) Real-time Corrections for a Low-cost Hyperspectral Instrument. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. volum 2019-September.
- Holm, Egil; Transeth, Aksel Andreas; Knudsen, Ole Øystein; Stahl, Annette. (2019) Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks. PROCEEDINGS VOLUME 11433 Twelfth International Conference on Machine Vision (ICMV 2019).
- Lien, Andreas Myskja; Schellewald, Christian; Stahl, Annette; Frank, Kevin; Skøien, Kristoffer Rist; Tjølsen, Jan Inge. (2019) Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform. Aquacultural Engineering. volum 87:102018.
2018
- Dahlin Rodin, Christopher; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. Proceeding of IEEE 15th International Workshop on Advanced Motion Control (AMC2018).
- Dyrstad, Jonatan Sjølund; Øye, Elling Ruud; Stahl, Annette; Mathiassen, John Reidar Bartle. (2018) Teaching a robot to grasp real fish by imitation learning from a human supervisor in virtual reality. IEEE International Conference on Intelligent Robots and Systems. Proceedings.
- Leonardi, Marco; Stahl, Annette. (2018) Convolutional Autoencoder aided loop closure detection for monocular SLAM. 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2018 Opatija, Croatia, 10–12 September 2018.
2017
- Føre, Martin; Frank, Kevin; Norton, Tomas; Svendsen, Eirik; Alfredsen, Jo Arve; Dempster, Timothy David; Eguiraun, Harkaitz; Watson, Win; Stahl, Annette; Sunde, Leif Magne; Schellewald, Christian; Skøien, Kristoffer Rist; Alver, Morten; Berckmans, Daniel. (2017) Precision fish farming: A new framework to improve production in aquaculture. Biosystems Engineering. volum 173.
- Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne; Alfredsen, Jo Arve; Stahl, Annette. (2017) Telemetri og maskinsyn for overvåking av trender i tilstander hos laks før, under og etter avlusning Prosjektrapport for prosjektet "Teknologi for nye datatyper og informasjon som beskriver situasjon og tilstand hos laksefisk i kommersielle merder (LAKSIT)" FHF Pnr. 901184. 2017.
- Føre, Martin; Svendsen, Eirik; Frank, Kevin; Schellewald, Christian; Sunde, Leif Magne; Stahl, Annette; Alfredsen, Jo Arve. (2017) LAKSIT:Telemetri og maskinsyn for overvåkning og dokumentasjon av fiskevelferd i avlusningsprosesser. Norsk Fiskeoppdrett. volum 4.
- Leonardi, Marco; Stahl, Annette. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. Proceedings of the IEEE OCEANS 2017.
- Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne; Lader, Pål Furset. (2017) Experimental study of installation procedure and volume estimation of tarpaulin for chemical treatment of fish in floating cages. Aquacultural Engineering. volum 78.
2016
- Jovanović, Vedran; Risojević, Vladimir; Babić, Zdenka; Svendsen, Eirik; Stahl, Annette. (2016) Splash detection in surveillance videos of offshore fish production plants. International Conference on Systems, Signals, and Image Processing. volum 2016-June.
- Stahl, Annette. (2016) Droner ser sykdom på fisk og hull i nøter. iLaks.no.
- Stahl, Annette. (2016) Robot vision helps detect diseases and keep fish healthy. Gemini (English edition).
- Stahl, Annette. (2016) Robotsyn finner sykdom og gir friskere fisk. Gemini.
- Stahl, Annette; Kvamsdal, Trond; Schellewald, Christian. (2016) Post-processing and visualization techniques for isogeometric analysis results. Computer Methods in Applied Mechanics and Engineering. volum 316.
2015
- Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual pose estimation for autonomous inspection of fish pens. OCEANS 2015 - Genova.
- Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne. (2015) Modellforsøk med dukbasert avlusing. Beskrivelse av gjennomføringen og resultater fra modellforsøk i Hirtshals, juni 2014 for FHF. 2015. ISBN 978-82-14-05870-3.
2014
- Volent, Zsolt; Birkevold, Jens; Stahl, Annette. (2014) Modellforsøk med dukbasert avlusing Beskrivelse av gjennomføringen av modellforsøk i Hirtshals - Foreløpig rapport. 2014. ISBN 978-82-14-05772-0.
2012
- Stahl, Annette; Schellewald, Christian; Stavdahl, Øyvind; Aamo, Ole Morten; Adde, Lars; Kirkerød, Harald. (2012) An Optical Flow-Based Method to Predict Infantile Cerebral Palsy. IEEE transactions on neural systems and rehabilitation engineering. volum 20 (4).
2011
- Stahl, Annette; Aamo, Ole Morten. (2011) A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control. Informatics in Control, Automation and Robotics Revised and Selected Papers from the International Conference on Informatics in Control, Automation and Robotics 2010.
- Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualisation of Isogeometric Analysis Results. MekIT'11: Sixth National Conference on Computational Mechanics, Trondheim 23-24 May 2011.
2010
- Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics; Volume 3.
2009
- Stahl, Annette. (2009) PhD-Thesis: Dynamic Variational Motion Estimation and Video Inpainting with Physical Priors. 2009.
2007
- Ruhnau, Paul; Stahl, Annette; Schnoerr, Christoph. (2007) Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization. Measurement Science and Technology. volum 18.
2003
- Stahl, Annette. (2003) Master Thesis: Data-dependent Triangulation and Surface Simplification - Staatsexamensarbeit: Datenabhaengige Triangulierung und Oberflaechenvereinfachung. 2003.
Tidsskriftspublikasjoner
- Borgersen, Jonas Nagell; Saad, Aya; Stahl, Annette. (2022) MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. Proceedings of SPIE, the International Society for Optical Engineering. volum 12084.
- Haugo, Simen; Stahl, Annette. (2022) Progressive integration of visibility constraints for implicit functions. Proceedings of SPIE, the International Society for Optical Engineering. volum 12084.
- Helgesen, Øystein Kaarstad; Vasstein, Kjetil; Brekke, Edmund Førland; Stahl, Annette. (2022) Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment. Ocean Engineering. volum 252.
- Madshaven, Arild; Schellewald, Christian; Stahl, Annette. (2022) Hole Detection in Aquaculture Net Cages from Video Footage. Proceedings of SPIE, the International Society for Optical Engineering. volum 12084.
- Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2022) Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. Proceedings of SPIE, the International Society for Optical Engineering. volum 12084.
- Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) A combined informative and representative active learning approach for plankton taxa labeling. Proceedings of SPIE, the International Society for Optical Engineering. volum 11878.
- Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) CIRAL: a hybrid active learning framework for plankon taxa labeling. IFAC-PapersOnLine. volum 54 (16).
- Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein. (2021) Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC-PapersOnLine. volum 53 (2).
- Leonardi, Marco; Fiori, Luca; Stahl, Annette. (2021) Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC-PapersOnLine. volum 53 (2).
- Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette. (2021) An instance segmentation framework for in-situ plankton taxa assessment. Proceedings of SPIE, the International Society for Optical Engineering. volum 11605.
- Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni. (2021) Vision-based pose estimation for autonomous operations in aquacultural fish farms. IFAC-PapersOnLine. volum 54 (16).
- Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. IFAC-PapersOnLine. volum 54 (16).
- Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2021) Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs). International Journal of Intelligent Robotics and Applications (IJIRA).
- Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. IEEE International Conference on Computer Vision (ICCV).
- Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. OCEANS.
- Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein. (2020) Image Segmentation of Corrosion Damages in Industrial Inspections. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI).
- Haavardsholm, Trym Vegard; Skauli, Torbjørn; Stahl, Annette. (2020) Multimodal Multispectral Imaging System for Small UAVs. IEEE Robotics and Automation Letters. volum 5 (2).
- Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole; Ludvigsen, Martin; Johnsen, Geir; Sousa, João; Rajan, Kanna. (2020) Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography. volum 33 (3).
- Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. OCEANS.
- Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. OCEANS.
- Henriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Stahl, Annette; Johansen, Tor Arne; Sigernes, Fred. (2019) Real-time Corrections for a Low-cost Hyperspectral Instrument. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. volum 2019-September.
- Lien, Andreas Myskja; Schellewald, Christian; Stahl, Annette; Frank, Kevin; Skøien, Kristoffer Rist; Tjølsen, Jan Inge. (2019) Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform. Aquacultural Engineering. volum 87:102018.
- Dyrstad, Jonatan Sjølund; Øye, Elling Ruud; Stahl, Annette; Mathiassen, John Reidar Bartle. (2018) Teaching a robot to grasp real fish by imitation learning from a human supervisor in virtual reality. IEEE International Conference on Intelligent Robots and Systems. Proceedings.
- Føre, Martin; Frank, Kevin; Norton, Tomas; Svendsen, Eirik; Alfredsen, Jo Arve; Dempster, Timothy David; Eguiraun, Harkaitz; Watson, Win; Stahl, Annette; Sunde, Leif Magne; Schellewald, Christian; Skøien, Kristoffer Rist; Alver, Morten; Berckmans, Daniel. (2017) Precision fish farming: A new framework to improve production in aquaculture. Biosystems Engineering. volum 173.
- Føre, Martin; Svendsen, Eirik; Frank, Kevin; Schellewald, Christian; Sunde, Leif Magne; Stahl, Annette; Alfredsen, Jo Arve. (2017) LAKSIT:Telemetri og maskinsyn for overvåkning og dokumentasjon av fiskevelferd i avlusningsprosesser. Norsk Fiskeoppdrett. volum 4.
- Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne; Lader, Pål Furset. (2017) Experimental study of installation procedure and volume estimation of tarpaulin for chemical treatment of fish in floating cages. Aquacultural Engineering. volum 78.
- Jovanović, Vedran; Risojević, Vladimir; Babić, Zdenka; Svendsen, Eirik; Stahl, Annette. (2016) Splash detection in surveillance videos of offshore fish production plants. International Conference on Systems, Signals, and Image Processing. volum 2016-June.
- Stahl, Annette. (2016) Droner ser sykdom på fisk og hull i nøter. iLaks.no.
- Stahl, Annette. (2016) Robot vision helps detect diseases and keep fish healthy. Gemini (English edition).
- Stahl, Annette. (2016) Robotsyn finner sykdom og gir friskere fisk. Gemini.
- Stahl, Annette; Kvamsdal, Trond; Schellewald, Christian. (2016) Post-processing and visualization techniques for isogeometric analysis results. Computer Methods in Applied Mechanics and Engineering. volum 316.
- Stahl, Annette; Schellewald, Christian; Stavdahl, Øyvind; Aamo, Ole Morten; Adde, Lars; Kirkerød, Harald. (2012) An Optical Flow-Based Method to Predict Infantile Cerebral Palsy. IEEE transactions on neural systems and rehabilitation engineering. volum 20 (4).
- Ruhnau, Paul; Stahl, Annette; Schnoerr, Christoph. (2007) Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization. Measurement Science and Technology. volum 18.
Rapport/avhandling
- Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne; Alfredsen, Jo Arve; Stahl, Annette. (2017) Telemetri og maskinsyn for overvåking av trender i tilstander hos laks før, under og etter avlusning Prosjektrapport for prosjektet "Teknologi for nye datatyper og informasjon som beskriver situasjon og tilstand hos laksefisk i kommersielle merder (LAKSIT)" FHF Pnr. 901184. 2017.
- Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne. (2015) Modellforsøk med dukbasert avlusing. Beskrivelse av gjennomføringen og resultater fra modellforsøk i Hirtshals, juni 2014 for FHF. 2015. ISBN 978-82-14-05870-3.
- Volent, Zsolt; Birkevold, Jens; Stahl, Annette. (2014) Modellforsøk med dukbasert avlusing Beskrivelse av gjennomføringen av modellforsøk i Hirtshals - Foreløpig rapport. 2014. ISBN 978-82-14-05772-0.
- Stahl, Annette. (2009) PhD-Thesis: Dynamic Variational Motion Estimation and Video Inpainting with Physical Priors. 2009.
- Stahl, Annette. (2003) Master Thesis: Data-dependent Triangulation and Surface Simplification - Staatsexamensarbeit: Datenabhaengige Triangulierung und Oberflaechenvereinfachung. 2003.
Del av bok/rapport
- Haugo, Simen; Stahl, Annette. (2020) Iterative Closest Point with Minimal Free Space Constraints. Advances in Visual Computing.
- Haugo, Simen; Stahl, Annette. (2020) Minimal Free Space Constraints for Implicit Distance Bounds. Advances in Visual Computing.
- Skjellaug, Even; Brekke, Edmund Førland; Stahl, Annette. (2020) Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library. 2020 IEEE 23rd International Conference on Information Fusion (FUSION).
- Holm, Egil; Transeth, Aksel Andreas; Knudsen, Ole Øystein; Stahl, Annette. (2019) Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks. PROCEEDINGS VOLUME 11433 Twelfth International Conference on Machine Vision (ICMV 2019).
- Dahlin Rodin, Christopher; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. Proceeding of IEEE 15th International Workshop on Advanced Motion Control (AMC2018).
- Leonardi, Marco; Stahl, Annette. (2018) Convolutional Autoencoder aided loop closure detection for monocular SLAM. 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2018 Opatija, Croatia, 10–12 September 2018.
- Leonardi, Marco; Stahl, Annette. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. Proceedings of the IEEE OCEANS 2017.
- Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual pose estimation for autonomous inspection of fish pens. OCEANS 2015 - Genova.
- Stahl, Annette; Aamo, Ole Morten. (2011) A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control. Informatics in Control, Automation and Robotics Revised and Selected Papers from the International Conference on Informatics in Control, Automation and Robotics 2010.
- Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualisation of Isogeometric Analysis Results. MekIT'11: Sixth National Conference on Computational Mechanics, Trondheim 23-24 May 2011.
- Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics; Volume 3.
Undervisning
Emner
Formidling
2016
- Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Teknisk Ukeblad [Tidsskrift]. 2016-11-14.